T. C. Maximov

2.1k total citations
30 papers, 1.4k citations indexed

About

T. C. Maximov is a scholar working on Atmospheric Science, Global and Planetary Change and Ecology. According to data from OpenAlex, T. C. Maximov has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atmospheric Science, 16 papers in Global and Planetary Change and 6 papers in Ecology. Recurrent topics in T. C. Maximov's work include Climate change and permafrost (19 papers), Cryospheric studies and observations (16 papers) and Plant Water Relations and Carbon Dynamics (9 papers). T. C. Maximov is often cited by papers focused on Climate change and permafrost (19 papers), Cryospheric studies and observations (16 papers) and Plant Water Relations and Carbon Dynamics (9 papers). T. C. Maximov collaborates with scholars based in Russia, Netherlands and Japan. T. C. Maximov's co-authors include A. J. Dolman, J. van Huissteden, Alexander V. Kononov, Frans‐Jan W. Parmentier, Gabriela Schaepman‐Strub, Monique Heijmans, Daan Blok, Frank Berendse, M. K. van der Molen and Sergey V. Karsanaev and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Global Change Biology and Nature Climate Change.

In The Last Decade

T. C. Maximov

29 papers receiving 1.4k citations

Peers

T. C. Maximov

GPC

ECOLO

R. C. Zulueta United States

Pavel Alekseychik Finland

Z. A. Mekonnen United States

Carolyn Gibson Canada

M. V. Losleben United States

Alexander V. Kononov Russia

D. A. Walker United States

Matthias Siewert Sweden

Nicholas Kettridge United Kingdom

Go Iwahana United States

R. C. Zulueta United States

T. C. Maximov

779 ×0.7

552 ×1.0

GPC

437 ×1.2

ECOLO

83 ×0.5

91 ×0.9

Citations per year, relative to T. C. Maximov T. C. Maximov (= 1×) peers R. C. Zulueta

Countries citing papers authored by T. C. Maximov

Since Specialization

Citations

This map shows the geographic impact of T. C. Maximov's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by T. C. Maximov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. C. Maximov more than expected).

Fields of papers citing papers by T. C. Maximov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. C. Maximov. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by T. C. Maximov. The network helps show where T. C. Maximov may publish in the future.

Co-authorship network of co-authors of T. C. Maximov

This figure shows the co-authorship network connecting the top 25 collaborators of T. C. Maximov. A scholar is included among the top collaborators of T. C. Maximov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T. C. Maximov. T. C. Maximov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Iturrate‐Garcia, Maitane, et al.. (2023). Deciduous Tundra Shrubs Shift Toward More Acquisitive Light Absorption Strategy Under Climate Change Treatments. Journal of Geophysical Research Biogeosciences. 128(9). 1 indexed citations

Huissteden, J. van, et al.. (2021). Geomorphology and InSAR-Tracked Surface Displacements in an Ice-Rich Yedoma Landscape. Frontiers in Earth Science. 9. 10 indexed citations

Morozumi, Tomoki, Rikie Suzuki, Hideki Kobayashi, et al.. (2019). Estimating methane emissions using vegetation mapping in the taiga–tundra boundary of a north-eastern Siberian lowland. Tellus B. 71(1). 1581004–1581004. 16 indexed citations

Maximov, T. C., et al.. (2017). Dehydrin stress proteins in Pinus sylvestris L. needles under conditions of extreme climate of Yakutia. Doklady Biochemistry and Biophysics. 473(1). 98–101. 7 indexed citations

Molen, M. K. van der, Wolfgang Wagner, Ivar R. van der Velde, et al.. (2016). The effect of assimilating satellite-derived soil moisture data in SiBCASA on simulated carbon fluxes in Boreal Eurasia. Hydrology and earth system sciences. 20(2). 605–624. 11 indexed citations

Huissteden, J. van, Luca Belelli Marchesini, Gabriela Schaepman‐Strub, et al.. (2014). Evaluation of a plot-scale methane emission model using eddy covariance observations and footprint modelling. Biogeosciences. 11(17). 4651–4664. 26 indexed citations

Arneth, Almut, Stefan Olin, Risto Makkonen, et al.. (2014). Future biogeochemical forcing in Eastern Siberia: cooling or warming?. Repository KITopen (Karlsruhe Institute of Technology).

Kajos, M. K., Hannele Hakola, Thomas Holst, et al.. (2013). Terpenoid emissions from fully grown east Siberian Larix cajanderi trees. Biogeosciences. 10(7). 4705–4719. 11 indexed citations

Dolman, A. J., А. Shvidenko, Dmitry Schepaschenko, et al.. (2012). An estimate of the terrestrial carbon budget of Russia using inventory-based, eddy covariance and inversion methods. Biogeosciences. 9(12). 5323–5340. 100 indexed citations

10.

Parmentier, Frans‐Jan W., J. van Huissteden, Nardy Kip, et al.. (2011). The role of endophytic methane-oxidizing bacteria in submerged <I>Sphagnum</I> in determining methane emissions of Northeastern Siberian tundra. Biogeosciences. 8(5). 1267–1278. 35 indexed citations

11.

Parmentier, Frans‐Jan W., M. K. van der Molen, J. van Huissteden, et al.. (2011). Longer growing seasons do not increase net carbon uptake in the northeastern Siberian tundra. Journal of Geophysical Research Atmospheres. 116(G4). 97 indexed citations

12.

Maximov, T. C., et al.. (2010). Forest decline caused by high soil water conditions in a permafrost region. Hydrology and earth system sciences. 14(2). 301–307. 39 indexed citations

13.

Huissteden, J. van, T. C. Maximov, Alexander V. Kononov, & A. J. Dolman. (2008). Summer soil CH4 emission and uptake in taiga forest near Yakutsk, Eastern Siberia. Agricultural and Forest Meteorology. 148(12). 2006–2012. 17 indexed citations

14.

Maximov, T. C., Takeshi Ohta, & A. J. Dolman. (2008). Water and energy exchange in East Siberian forest: A synthesis. Agricultural and Forest Meteorology. 148(12). 2013–2018. 20 indexed citations

15.

Huissteden, J. van, T. C. Maximov, & A. J. Dolman. (2005). High methane flux from an arctic floodplain (Indigirka lowlands, eastern Siberia). Journal of Geophysical Research Atmospheres. 110(G2). 92 indexed citations

16.

Dolman, A. J., T. C. Maximov, Eddy Moors, et al.. (2004). Net ecosystem exchange of carbon dioxide and water of far eastern Siberian Larch (<I>Larix cajanderii</I>) on permafrost. Biogeosciences. 1(2). 133–146. 67 indexed citations

17.

Shibuya, Masato, Takuji Sawamoto, Ryusuke Hatano, et al.. (2002). Carbon and Nitrogen Storage in Aboveground Biomass and Organic Layer in Natural Larix Stands in Eastern Siberia. AGU Fall Meeting Abstracts. 2002. 1 indexed citations

18.

Sawamoto, Takuji, Ryusuke Hatano, Masato Shibuya, et al.. (2001). CO2, N2O, and CH4 Fluxes from Soil in Siberian-Taiga Larch Forests with Different Histories of Forest Fire. The science reports of the Tohoku University. 36(2). 77–90. 5 indexed citations

19.

Koike, Takayoshi, K. Yazaki, Ryo Funada, et al.. (2000). Photosynthetic characteristics of Dahurian larch, Scotch pine and white birch seedlings native to Eastern Siberia raised under elevated CO2.. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 1(1). 31–37. 7 indexed citations

20.

Koike, Takayoshi, et al.. (1996). Comparison of the photosynthetic capacity of Siberian and Japanese birch seedlings grown in elevated CO2 and temperature. Tree Physiology. 16(3). 381–385. 32 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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